Data Augmentation

Data Augmentation Can Improve Robustness NeurIPS 2021 Data Augmentation for Abstractive Query-Focused Multi-Document Summarization AAAI 2021 Data Augmentation for Cross-Domain Named Entity Recognition EMNLP 2021 Data augmentation for deep learning based accelerated MRI reconstruction with limited data ICML 2021 Data Augmentation for Graph Neural Networks AAAI 2021 Data Augmentation for Hypernymy Detection EACL 2021 Data augmentation for low-resource grapheme-to-phoneme mapping ACL 2021 Data Augmentation for Meta-Learning ICML 2021 Data Augmentation for Spoken Language Understanding via Pretrained Language Models Interspeech 2021 Data Augmentation for Text Generation Without Any Augmented Data ACL 2021 Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase EACL 2021 Data Augmentation Methods for Anaphoric Zero Pronouns EMNLP 2021 Data Augmentation Methods for End-to-End Speech Recognition on Distant-Talk Scenarios Interspeech 2021 Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction CoNLL 2021 Data Augmentation with Adversarial Training for Cross-Lingual NLI ACL 2021 Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing EMNLP 2021 Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings ACL 2021 Data Cleaning Tools for Token Classification Tasks NAACL 2021 Data-Efficient Instance Generation from Instance Discrimination NeurIPS 2021 Data Efficient Masked Language Modeling for Vision and Language EMNLP 2021 Data Filtering using Cross-Lingual Word Embeddings NAACL 2021 Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified Format ACL 2021 Dataset Condensation with Gradient Matching ICLR 2021 Data Strategies for Low-Resource Grammatical Error Correction EACL 2021 DecAug: Augmenting HOI Detection via Decomposition AAAI 2021